Summary
Iaroslav Okunevich is a software engineer and robotics researcher with a PhD in Robotics and eight years of hands-on experience building perception, planning and control systems for mobile robots. He combines deep reinforcement learning research—having improved social navigation success in dynamic environments—with practical system integration on ROS/ROS2 and deployment to edge platforms like NVIDIA Jetson. His background spans AI-assisted hardware projects (charging and disinfection robots), low-level STM32 firmware and 3D LiDAR human-tracking, showing a rare fluency across hardware, control and ML stacks. Based in Klagenfurt, he publishes peer-reviewed work and has prototyped human-centered benchmarks and CAD-integrated sensor towers, reflecting an emphasis on real-world validation as well as algorithmic novelty.
8 years of coding experience
5 years of employment as a software developer
Master's degree, Space and Engineering Systems, 5.0 (5.0 is best), Master's degree, Space and Engineering Systems, 5.0 (5.0 is best) at Skolkovo Institute of Science and Technology
Doctor of Philosophy - PhD, Robotics, Doctor of Philosophy - PhD, Robotics at Université de Franche-Comté
Bachelor's degree, Mechatronics, Robotics and Automation, 4.5 (5.0 is best), Bachelor's degree, Mechatronics, Robotics and Automation, 4.5 (5.0 is best) at Bauman Moscow State Technical University
English, Russian, French, German